Child Developmental MRI (CDM) project: protocol for a multi-centre, cross-sectional study on elucidating the pathophysiology of attention-deficit/hyperactivity disorder and autism spectrum disorder through a multi-dimensional approach

IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of...

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Published inBMJ open Vol. 13; no. 6; p. e070157
Main Authors Yamashita, Masatoshi, Kagitani-Shimono, Kuriko, Hirano, Yoshiyuki, Hamatani, Sayo, Nishitani, Shota, Yao, Akiko, Kurata, Sawa, Kosaka, Hirotaka, Jung, Minyoung, Yoshida, Tokiko, Sasaki, Tsuyoshi, Matsumoto, Koji, Kato, Yoko, Nakanishi, Mariko, Tachibana, Masaya, Mohri, Ikuko, Tsuchiya, Kenji J, Tsujikawa, Tetsuya, Okazawa, Hidehiko, Shimizu, Eiji, Taniike, Masako, Tomoda, Akemi, Mizuno, Yoshifumi
Format Journal Article
LanguageEnglish
Published England British Medical Journal Publishing Group 23.06.2023
BMJ Publishing Group LTD
BMJ Publishing Group
SeriesProtocol
Subjects
Online AccessGet full text
ISSN2044-6055
2044-6055
DOI10.1136/bmjopen-2022-070157

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Abstract IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.Methods and analysisWe will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.Ethics and disseminationThe study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences.
AbstractList Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.INTRODUCTIONNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.We will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.METHODS AND ANALYSISWe will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.The study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences.ETHICS AND DISSEMINATIONThe study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences.
Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures. We will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD. The study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences.
Introduction Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.Methods and analysis We will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.Ethics and dissemination The study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences.
IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain structure, activity and network. However, there remains heterogeneity and inconsistency across these findings, presumably because of the diversity of the disorders themselves, small sample sizes, and site and parameter differences in MRI scanners, and their overall pathogenesis remains unclear. To address these gaps in the literature, we will apply the travelling-subject approach to correct site differences in MRI scanners and clarify brain structure and network characteristics of children with ADHD and ASD using large samples collected in a multi-centre collaboration. In addition, we will investigate the relationship between these characteristics and genetic, epigenetic, biochemical markers, and behavioural and psychological measures.Methods and analysisWe will collect resting-state functional MRI (fMRI) and T1-weighted and diffusion-weighted MRI data from 15 healthy adults as travelling subjects and 300 children (ADHD, n=100; ASD, n=100; and typical development, n=100) with multi-dimensional assessments. We will also apply data from more than 1000 samples acquired in our previous neuroimaging studies on ADHD and ASD.Ethics and disseminationThe study protocol has been approved by the Research Ethics Committee of the University of Fukui Hospital (approval no: 20220601). Our study findings will be submitted to scientific peer-reviewed journals and conferences.
Author Jung, Minyoung
Tachibana, Masaya
Mohri, Ikuko
Tsujikawa, Tetsuya
Nishitani, Shota
Yao, Akiko
Kosaka, Hirotaka
Kurata, Sawa
Hirano, Yoshiyuki
Yoshida, Tokiko
Shimizu, Eiji
Taniike, Masako
Nakanishi, Mariko
Kagitani-Shimono, Kuriko
Mizuno, Yoshifumi
Kato, Yoko
Yamashita, Masatoshi
Tomoda, Akemi
Sasaki, Tsuyoshi
Matsumoto, Koji
Hamatani, Sayo
Tsuchiya, Kenji J
Okazawa, Hidehiko
AuthorAffiliation 4 Department of Paediatrics , Osaka University Graduate School of Medicine , Osaka , Japan
10 Department of Radiology , Chiba University Hospital , Chiba , Japan
8 Cognitive Science Research Group , Korea Brain Research Institute , Daegu , Korea (the Republic of)
5 Research Centre for Child Mental Development , Chiba University , Chiba , Japan
6 Department of Child and Adolescent Psychological Medicine , University of Fukui Hospital , Fukui , Japan
3 Molecular Research Centre for Children’s Mental Development , Osaka University Graduate School of Medicine , Osaka , Japan
7 Department of Neuropsychiatry, Faculty of Medical Sciences , University of Fukui , Fukui , Japan
9 Department of Child Psychiatry and Psychiatry , Chiba University Hospital , Chiba , Japan
2 United Graduate School of Child Development, Osaka University, Kanazawa University , Hamamatsu University School of Medicine, Chiba University and University of Fukui , Osaka , Japan
1 Research Centre for Child Mental Development , Univer
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/37355265$$D View this record in MEDLINE/PubMed
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Keywords Paediatric neurology
Developmental neurology & neurodisability
Child & adolescent psychiatry
Language English
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Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
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Snippet IntroductionNeuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in...
Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in extensive brain...
Introduction Neuroimaging studies on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) have demonstrated differences in...
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StartPage e070157
SubjectTerms Adult
Attention Deficit Disorder with Hyperactivity - diagnostic imaging
Attention deficit hyperactivity disorder
Autism
Autism Spectrum Disorder - diagnostic imaging
Biomarkers
Brain
Brain research
Child
Child & adolescent psychiatry
Children & youth
Cross-Sectional Studies
Developmental neurology & neurodisability
DNA methylation
Epigenetics
Head injuries
Humans
Hyperactivity
Informed consent
Magnetic Resonance Imaging
Medical imaging
Mental disorders
Mental Health
Multicenter Studies as Topic
Neurobiology
Neuroimaging
Paediatric neurology
Pathogenesis
Pediatrics
Pregnancy
Scanners
Special education
Teenagers
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Title Child Developmental MRI (CDM) project: protocol for a multi-centre, cross-sectional study on elucidating the pathophysiology of attention-deficit/hyperactivity disorder and autism spectrum disorder through a multi-dimensional approach
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